Colour space coordinates are a set of numerical values that define a specific color within a particular color space. Essentially, they're like the address of a color in a 3D or higher-dimensional map.
Here's a breakdown:
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Color Space: A specific organization of colors. Common examples include RGB (Red, Green, Blue), CMYK (Cyan, Magenta, Yellow, Black), and CIELAB.
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Coordinates: These are the numerical values that represent the amount of each primary color (or other parameters) needed to create a specific color within that color space.
How Color Space Coordinates Work:
Different color spaces use different primary colors or parameters. For instance:
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RGB: Uses three coordinates: Red, Green, and Blue. Each coordinate typically ranges from 0 to 255 (in 8-bit color) or 0.0 to 1.0 (in floating-point representations). For example, (255, 0, 0) in RGB represents pure red.
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CMYK: Uses four coordinates: Cyan, Magenta, Yellow, and Key (Black). Each coordinate typically ranges from 0 to 100%. For example, (0, 100, 100, 0) represents pure red in CMYK.
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CIELAB (L*a*b*): Is designed to be perceptually uniform, meaning that equal numerical changes in the coordinates correspond to roughly equal changes in perceived color. It uses three coordinates:
- L*: Lightness (0 = black, 100 = white).
- a*: Position between red and green (negative = green, positive = red).
- b*: Position between yellow and blue (negative = blue, positive = yellow).
Example: CIELAB Coordinates Explained
As highlighted in the reference, CIELAB's coordinates have specific meanings:
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L* (Lightness): Determines how bright or dark the color is. A value of 0 represents black, while a value of 100 represents white.
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a* (Red-Green Axis): Indicates the color's position on the red-green spectrum. Negative values indicate green, while positive values indicate red.
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b* (Yellow-Blue Axis): Indicates the color's position on the yellow-blue spectrum. Negative values indicate blue, while positive values indicate yellow.
Why are Color Space Coordinates Important?
- Color Reproduction: They allow for consistent color reproduction across different devices (e.g., monitors, printers).
- Color Communication: They provide a standardized way to communicate color information between designers, manufacturers, and other stakeholders.
- Color Manipulation: They enable precise color adjustments and manipulations in image editing software.
- Color Measurement: They allow for the objective measurement and analysis of color.
In summary, color space coordinates are the numerical values that define a specific color within a particular color space, providing a standardized and precise way to represent and communicate color information.